Optimal operation of Internet Data Center with PV and energy storage type of UPS clusters
With the development of green data centers, a large number of Uninterruptible Power Supply (UPS) resources in Internet Data Center (IDC) are becoming idle assets owing to their low utilization rate. The revitalization of these idle UPS resources is an urgent problem that must be addressed. Based on...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2024-02-01
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| Series: | Global Energy Interconnection |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2096511724000069 |
| _version_ | 1797272521795436544 |
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| author | Man Chen Yuxin Zhao Yuxuan Li Peng Peng Xisheng Tang |
| author_facet | Man Chen Yuxin Zhao Yuxuan Li Peng Peng Xisheng Tang |
| author_sort | Man Chen |
| collection | DOAJ |
| description | With the development of green data centers, a large number of Uninterruptible Power Supply (UPS) resources in Internet Data Center (IDC) are becoming idle assets owing to their low utilization rate. The revitalization of these idle UPS resources is an urgent problem that must be addressed. Based on the energy storage type of the UPS (EUPS) and using renewable sources, a solution for IDCs is proposed in this study. Subsequently, an EUPS cluster classification method based on the concept of shared mechanism niche (CSMN) was proposed to effectively solve the EUPS control problem. Accordingly, the classified EUPS aggregation unit was used to determine the optimal operation of the IDC. An IDC cost minimization optimization model was established, and the Quantum Particle Swarm Optimization (QPSO) algorithm was adopted. Finally, the economy and effectiveness of the three-tier optimization framework and model were verified through three case studies. |
| first_indexed | 2024-03-07T14:30:33Z |
| format | Article |
| id | doaj.art-ed5439cfe78145bda6263fb7aed1d7bf |
| institution | Directory Open Access Journal |
| issn | 2096-5117 |
| language | English |
| last_indexed | 2024-03-07T14:30:33Z |
| publishDate | 2024-02-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Global Energy Interconnection |
| spelling | doaj.art-ed5439cfe78145bda6263fb7aed1d7bf2024-03-06T05:26:33ZengKeAi Communications Co., Ltd.Global Energy Interconnection2096-51172024-02-01716170Optimal operation of Internet Data Center with PV and energy storage type of UPS clustersMan Chen0Yuxin Zhao1Yuxuan Li2Peng Peng3Xisheng Tang4CSG PGC Energy Storage Research Institute, Guangzhou 510000, PR ChinaInstitute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, PR ChinaCSG PGC Energy Storage Research Institute, Guangzhou 510000, PR ChinaCSG PGC Energy Storage Research Institute, Guangzhou 510000, PR ChinaInstitute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR ChinaWith the development of green data centers, a large number of Uninterruptible Power Supply (UPS) resources in Internet Data Center (IDC) are becoming idle assets owing to their low utilization rate. The revitalization of these idle UPS resources is an urgent problem that must be addressed. Based on the energy storage type of the UPS (EUPS) and using renewable sources, a solution for IDCs is proposed in this study. Subsequently, an EUPS cluster classification method based on the concept of shared mechanism niche (CSMN) was proposed to effectively solve the EUPS control problem. Accordingly, the classified EUPS aggregation unit was used to determine the optimal operation of the IDC. An IDC cost minimization optimization model was established, and the Quantum Particle Swarm Optimization (QPSO) algorithm was adopted. Finally, the economy and effectiveness of the three-tier optimization framework and model were verified through three case studies.http://www.sciencedirect.com/science/article/pii/S2096511724000069Three-tier optimization frameworkEnergy storage type of the UPSEUPS cluster classification methodQuantum Particle Swarm Optimization |
| spellingShingle | Man Chen Yuxin Zhao Yuxuan Li Peng Peng Xisheng Tang Optimal operation of Internet Data Center with PV and energy storage type of UPS clusters Global Energy Interconnection Three-tier optimization framework Energy storage type of the UPS EUPS cluster classification method Quantum Particle Swarm Optimization |
| title | Optimal operation of Internet Data Center with PV and energy storage type of UPS clusters |
| title_full | Optimal operation of Internet Data Center with PV and energy storage type of UPS clusters |
| title_fullStr | Optimal operation of Internet Data Center with PV and energy storage type of UPS clusters |
| title_full_unstemmed | Optimal operation of Internet Data Center with PV and energy storage type of UPS clusters |
| title_short | Optimal operation of Internet Data Center with PV and energy storage type of UPS clusters |
| title_sort | optimal operation of internet data center with pv and energy storage type of ups clusters |
| topic | Three-tier optimization framework Energy storage type of the UPS EUPS cluster classification method Quantum Particle Swarm Optimization |
| url | http://www.sciencedirect.com/science/article/pii/S2096511724000069 |
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